Oracle ACE Director Dan Morgan and PTC Chief Strategy Officer Mark Swanholm, presented this special webinar to discuss Big Data and the choices ahead for organizations. for more details about Performance Tuning Corporation, visit www.peftuning.com .
Organizations are being bombarded with messages telling you that you must make an investment in Big Data, that without it your organization will be rendered obsolete, a mere bystander, on the road to increased growth and profitability.
But do you? How exactly will your organization benefit from Big Data? When do you invest – and does investing in Big Data mean leaving the rest of your data strategy stranded?
Oracle ACE Director Dan Morgan, an internationally recognized expert in database technology and former University of Washington lecturer, and Mark Swanholm, PTC’s Chief Strategy Officer and 22 year IT Veteran, will address the issue of Big Data from the standpoint of what it is, where the value can be found, what is actually required to turn this new technology into something of value.
This Performance Tuning Corporation online event will focus on strategy, management, planning, and budgeting, and will provide you and your management team the information they need to plan make the best possible decision with respect to an investment in Big Data technology.
The ABC of Data Governance: driving Information ExcellenceAlan D. Duncan
Overview of Data Governance requirements, techniques and outcomes. Presented at 5th Annual Records & Information Officers' Forum, Melbourne 19-20 Feb 2014.
Gayatri Patel, eBay, presents at the Big Analytics 2012 Roadshow
The wonders of what data can do for an organization is measured in the productivity and competitiveness of their team's decisions. Some believe more data is the key. Agreed...but good decisions require more than just deriving intelligence from big data. In this dynamic market, the need to socialize and evolve ideas with other teams, quickly correlate information across sources, and test ideas to fail fast early are strong enablers to gain competitive footing. eBay¹s analytic and technology advancements garners insights and approaches that continue to help our employees tell their "data stories" and make better decisions.
This talk is an introduction to Data Science. It explains Data Science from two perspectives - as a profession and as a descipline. While covering the benefits of Data Science for business, It explaints how to get started for embracing data science in business.
Analytics 3.0 Measurable business impact from analytics & big dataMicrosoft
Presentación del evento de Harvard Business Review sobre Analítica y Big Data
(15 de Octubre 2013)
"Featuring analytics expert Tom Davenport, author of Competing on Analytics, Analytics at Work, and the just-released Keeping Up with the Quants" 
Predictive Analytics - How to get stuff out of your Crystal BallDATAVERSITY
Everyone wants to leverage data. The optimal implementation of analytics is an organization-wide set of capabilities. These are called advantageous organizational analytic capabilities in that a clear ROI is demonstrable from these efforts. Turns out that there are a number of prerequisites to advantageous organizational analytics. These include:
Adopting a crawl, walk, run strategy
Understanding current and potential organizational maturity and corresponding capabilities
Achieving an appropriate technology/human capability balance
Implementing useful IT systems development practices
Installing necessary non-IT leadership
This webinar will explore these and other topics using examples drawn from DOD, healthcare researchers, and donation center operations.
As the shortage of trained data scientists threatens to prevent firms from reaching their analytical potential, a new class of products and services is emerging that promises to relieve the stress on enterprise management. These new tools are making it easier for “citizen data scientists” to create and use models based on their understanding of the business logic and their data, rather than data science fundamentals.
This webinar will present an overview of the new tool landscape and highlight features, benefits, and potential pitfalls for naive adopters. Will they eliminate the need for Data Scientists? Not yet, but they may be just what your firm needs now.
The ABC of Data Governance: driving Information ExcellenceAlan D. Duncan
Overview of Data Governance requirements, techniques and outcomes. Presented at 5th Annual Records & Information Officers' Forum, Melbourne 19-20 Feb 2014.
Gayatri Patel, eBay, presents at the Big Analytics 2012 Roadshow
The wonders of what data can do for an organization is measured in the productivity and competitiveness of their team's decisions. Some believe more data is the key. Agreed...but good decisions require more than just deriving intelligence from big data. In this dynamic market, the need to socialize and evolve ideas with other teams, quickly correlate information across sources, and test ideas to fail fast early are strong enablers to gain competitive footing. eBay¹s analytic and technology advancements garners insights and approaches that continue to help our employees tell their "data stories" and make better decisions.
This talk is an introduction to Data Science. It explains Data Science from two perspectives - as a profession and as a descipline. While covering the benefits of Data Science for business, It explaints how to get started for embracing data science in business.
Analytics 3.0 Measurable business impact from analytics & big dataMicrosoft
Presentación del evento de Harvard Business Review sobre Analítica y Big Data
(15 de Octubre 2013)
"Featuring analytics expert Tom Davenport, author of Competing on Analytics, Analytics at Work, and the just-released Keeping Up with the Quants" 
Predictive Analytics - How to get stuff out of your Crystal BallDATAVERSITY
Everyone wants to leverage data. The optimal implementation of analytics is an organization-wide set of capabilities. These are called advantageous organizational analytic capabilities in that a clear ROI is demonstrable from these efforts. Turns out that there are a number of prerequisites to advantageous organizational analytics. These include:
Adopting a crawl, walk, run strategy
Understanding current and potential organizational maturity and corresponding capabilities
Achieving an appropriate technology/human capability balance
Implementing useful IT systems development practices
Installing necessary non-IT leadership
This webinar will explore these and other topics using examples drawn from DOD, healthcare researchers, and donation center operations.
As the shortage of trained data scientists threatens to prevent firms from reaching their analytical potential, a new class of products and services is emerging that promises to relieve the stress on enterprise management. These new tools are making it easier for “citizen data scientists” to create and use models based on their understanding of the business logic and their data, rather than data science fundamentals.
This webinar will present an overview of the new tool landscape and highlight features, benefits, and potential pitfalls for naive adopters. Will they eliminate the need for Data Scientists? Not yet, but they may be just what your firm needs now.
Smart Data Slides: Leverage the IOT to Build a Smart Data EcosystemDATAVERSITY
No (successful) business is an island. For decades, business schools have taught strategies for improving competitiveness by evaluating strengths, weaknesses, opportunities and threats (SWOT), and considering market forces represented by competitors, consumers, and suppliers. Today, enterprises of all sizes are expected to manage their transactions and customer engagement “touch points” using applications that capture and measure everything from materials to customer satisfaction. As we automate and monitor every aspect of manufacturing and distribution (including the production and delivery of intellectual property for service-oriented businesses) there is a significant and growing role for smart data and sensor/IOT data.
Participants in this webinar will learn to define, capture, and analyze new IOT-based data to improve supply-chain performance.
Data-Ed Webinar: Demystifying Big Data DATAVERSITY
We are in the middle of a data flood and we need to figure out how to tame it without drowning. Most of what has been written about Big Data is focused on selling hardware and services. But what about a Big Data Strategy that guides hardware and software decisions? While virtually every major organization is faced with the challenge of figuring out the approach for and the requirements of this new development, jumping into the fray hastily and unprepared will only reproduce the same dismal IT project results as previously experienced. Join Dr. Peter Aiken as he will debunk a number of misconceptions about Big Data as your un-typical IT project. He will provide guidance on how to establish realistic Big Data management plans and expectations, and help demonstrate the value of such actions to both internal and external decision makers without getting lost in the hype.
Takeaways:
- The means by which Big Data techniques can complement existing data management practices
- The prototyping nature of practicing Big Data techniques
- The distinct ways in which utilizing Big Data can generate business value
- Bigger Data isn’t always Better Data
What is the impact of Big Data on Analytics from a Data Science perspective.
Presented at the Big Data and Analytics Summit 2014, Nasscom by Mamatha Upadhyaya.
Smarter businesses apply AI to learn and continuously evolve the way they work. To extract full value from AI, companies need data strategy that gives them access to all their data – no matter where it lives – in an environment that easily scales and applies the latest discovery technology including advanced analytics, visualization and AI. Learn how IBM Watson and Data provides all the tools companies need to embed AI, machine learning and deep learning in their business, while enabling professionals to gain the most from their data to drive smarter business and lead industry-changing transformations.
Understanding big data and data analytics big dataSeta Wicaksana
Big Data helps companies to generate valuable insights. Companies use Big Data to refine their marketing campaigns and techniques. Companies use it in machine learning projects to train machines, predictive modeling, and other advanced analytics applications.
Building a New Platform for Customer Analytics Caserta
Caserta Concepts and Databricks partner up to bring you this insightful webinar on how a business can choose from all of the emerging big data technologies to figure out which one best fits their needs.
The 20th annual Enterprise Data World (EDW) Conference took place in San Diego last month April 17-21. It is recognized as the most comprehensive educational conference on data management in the world.
Joe Caserta was a featured presenter. His session “Evolving from the Data Warehouse to Big Data Analytics - the Emerging Role of the Data Lake," highlighted the challenges and steps to needed to becoming a data-driven organization.
Joe also participated in in two panel discussions during the show:
• "Data Lake or Data Warehouse?"
• "Big Data Investments Have Been Made, But What's Next
For more information on Caserta Concepts, visit our website at http://casertaconcepts.com/.
Now companies are in the middle of a renovation that forces them to be analytics-driven to
continue being competitive. Data analysis provides a complete insight about their business. It
also gives noteworthy advantages over their competitors. Analytics-driven insights compel
businesses to take action on service innovation, enhance client experience, detect irregularities in
process and provide extra time for product or service marketing. To work on analytics driven
activities, companies require to gather, analyse and store information from all possible sources.
Companies should bring appropriate tools and workflows in practice to analyse data rapidly and
unceasingly. They should obtain insight from data analysis result and make changes in their
business process and practice on the basis of gained result. It would help to be more agile than
their previous process and function.
Integrating the CDO Role Into Your Organization; Managing the Disruption (MIT...Caserta
The role of the Chief Data Officer (CDO) has become integral to the evolution needed to turn a wisdom-driven company into an analytics-driven company. With Data Governance at the core of your responsibility, moving the innovation meter is a global challenge among CDOs. Specifically the CDO must:
• Provide a single point of accountability for data initiatives and issues
• Innovate ways to use existing data and evangelize a data vision for the organization
• Support & enforce data governance policies via outreach, training & tools
• Work with IT to develop/maintain an enterprise data repository
• Set standards for analytical reporting and generate data insights through data science
In this session, Joe Caserta addresses real-word CDO challenges, shares techniques to overcome them, manage corporate disruption and achieve success.
Smart Data Webinar: Knowledge as a ServiceDATAVERSITY
Building a successful ModernAI application often requires large volumes of data for training ML models or data that has been organized into knowledge using taxonomies or ontologies to support specific vertical markets (healthcare, insurance, pharma, etc.) or horizontal functions (HR, legal, supply chain, etc). While tools do exist to help developers ingest and organize the required data into meaningful knowledge stores, using pre-built data or knowledge packages can make application development faster, more reliable, and less expensive than starting from scratch.
In this webinar we will look at trends and examples of specific proprietary and open source data sets that offer prebuilt knowledge, representations, or models to serve these markets.
DataEd Slides: Getting (Re)Started with Data StewardshipDATAVERSITY
In order to find value in your organization’s data assets, heroic data stewards are tasked with saving the day – every single day! Adhering to the organizational Data Governance (DG) framework, they work to ensure that data is captured right the first time, validated through appropriately automated means, and integrated into business processing. Whether it’s data profiling or in-depth root cause analysis, data stewards ensure the organization’s mission-critical data is reliably coordinated. This program will approach this framework and punctuate important facets of a data steward’s role. Learning objectives include:
• Understanding the motivation for full-time data stewards in your organization
• Comprehending how stewards need to be multifunctional and dexterous, especially at first
• Exploring how stewards successfully target SDLC from cadence, approach, simplicity requirements, foundational prerequisite, and perspectives
Is Your Company Braced Up for handling Big Datahimanshu13jun
Has your company recently launched new product or company is concerned with the poor sales figure or want to reach new prospects and also reduce the existing customers' attrition, then this thought evoking short hand guide is available for you to explore.
This presentation explains how big data is transforming the way data is managed and provides a context on why it is essential to get to the data that matters.
Architecting Data For The Modern Enterprise - Data Summit 2017, Closing KeynoteCaserta
The “Big Data era” has ushered in an avalanche of new technologies and approaches for delivering information and insights to business users. What is the role of the cloud in your analytical environment? How can you make your migration as seamless as possible? This closing keynote, delivered by Joe Caserta, a prominent consultant who has helped many global enterprises adopt Big Data, provided the audience with the inside scoop needed to supplement data warehousing environments with data intelligence—the amalgamation of Big Data and business intelligence.
This presentation was given as the closing keynote at DBTA's annual Data Summit in NYC.
Discovering Big Data in the Fog: Why Catalogs MatterEric Kavanagh
The Briefing Room with Dr. Robin Bloor and Waterline Data
Good enterprise data can drive positive business outcomes. But if that data isn’t organized and accessible, information workers are left with an incomplete picture. Knowing the location, lineage and permissions of data across the enterprise can lead to more accurate and insightful searches, and ultimately, knowledge discovery.
Register for this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor as he discusses how the success of big data projects relies on understanding your data. He’ll be briefed by Todd Goldman and Mohan Sadashiva of Waterline Data, who will explain how their solution can facilitate discovery via automation and crowd sourcing. They’ll demonstrate how combining the value of tribal knowledge with rationalized data can enable self-service analytics, improve data governance, and reduce data redundancy.
Presentation about BigData from a German Webcast: http://business-services.heise.de/it-management/big-data/beitrag/big-data-technologie-einsatzgebiete-datenschutz-160.html?source=IBM_12_2013_IT_Conn
Smart Data Slides: Leverage the IOT to Build a Smart Data EcosystemDATAVERSITY
No (successful) business is an island. For decades, business schools have taught strategies for improving competitiveness by evaluating strengths, weaknesses, opportunities and threats (SWOT), and considering market forces represented by competitors, consumers, and suppliers. Today, enterprises of all sizes are expected to manage their transactions and customer engagement “touch points” using applications that capture and measure everything from materials to customer satisfaction. As we automate and monitor every aspect of manufacturing and distribution (including the production and delivery of intellectual property for service-oriented businesses) there is a significant and growing role for smart data and sensor/IOT data.
Participants in this webinar will learn to define, capture, and analyze new IOT-based data to improve supply-chain performance.
Data-Ed Webinar: Demystifying Big Data DATAVERSITY
We are in the middle of a data flood and we need to figure out how to tame it without drowning. Most of what has been written about Big Data is focused on selling hardware and services. But what about a Big Data Strategy that guides hardware and software decisions? While virtually every major organization is faced with the challenge of figuring out the approach for and the requirements of this new development, jumping into the fray hastily and unprepared will only reproduce the same dismal IT project results as previously experienced. Join Dr. Peter Aiken as he will debunk a number of misconceptions about Big Data as your un-typical IT project. He will provide guidance on how to establish realistic Big Data management plans and expectations, and help demonstrate the value of such actions to both internal and external decision makers without getting lost in the hype.
Takeaways:
- The means by which Big Data techniques can complement existing data management practices
- The prototyping nature of practicing Big Data techniques
- The distinct ways in which utilizing Big Data can generate business value
- Bigger Data isn’t always Better Data
What is the impact of Big Data on Analytics from a Data Science perspective.
Presented at the Big Data and Analytics Summit 2014, Nasscom by Mamatha Upadhyaya.
Smarter businesses apply AI to learn and continuously evolve the way they work. To extract full value from AI, companies need data strategy that gives them access to all their data – no matter where it lives – in an environment that easily scales and applies the latest discovery technology including advanced analytics, visualization and AI. Learn how IBM Watson and Data provides all the tools companies need to embed AI, machine learning and deep learning in their business, while enabling professionals to gain the most from their data to drive smarter business and lead industry-changing transformations.
Understanding big data and data analytics big dataSeta Wicaksana
Big Data helps companies to generate valuable insights. Companies use Big Data to refine their marketing campaigns and techniques. Companies use it in machine learning projects to train machines, predictive modeling, and other advanced analytics applications.
Building a New Platform for Customer Analytics Caserta
Caserta Concepts and Databricks partner up to bring you this insightful webinar on how a business can choose from all of the emerging big data technologies to figure out which one best fits their needs.
The 20th annual Enterprise Data World (EDW) Conference took place in San Diego last month April 17-21. It is recognized as the most comprehensive educational conference on data management in the world.
Joe Caserta was a featured presenter. His session “Evolving from the Data Warehouse to Big Data Analytics - the Emerging Role of the Data Lake," highlighted the challenges and steps to needed to becoming a data-driven organization.
Joe also participated in in two panel discussions during the show:
• "Data Lake or Data Warehouse?"
• "Big Data Investments Have Been Made, But What's Next
For more information on Caserta Concepts, visit our website at http://casertaconcepts.com/.
Now companies are in the middle of a renovation that forces them to be analytics-driven to
continue being competitive. Data analysis provides a complete insight about their business. It
also gives noteworthy advantages over their competitors. Analytics-driven insights compel
businesses to take action on service innovation, enhance client experience, detect irregularities in
process and provide extra time for product or service marketing. To work on analytics driven
activities, companies require to gather, analyse and store information from all possible sources.
Companies should bring appropriate tools and workflows in practice to analyse data rapidly and
unceasingly. They should obtain insight from data analysis result and make changes in their
business process and practice on the basis of gained result. It would help to be more agile than
their previous process and function.
Integrating the CDO Role Into Your Organization; Managing the Disruption (MIT...Caserta
The role of the Chief Data Officer (CDO) has become integral to the evolution needed to turn a wisdom-driven company into an analytics-driven company. With Data Governance at the core of your responsibility, moving the innovation meter is a global challenge among CDOs. Specifically the CDO must:
• Provide a single point of accountability for data initiatives and issues
• Innovate ways to use existing data and evangelize a data vision for the organization
• Support & enforce data governance policies via outreach, training & tools
• Work with IT to develop/maintain an enterprise data repository
• Set standards for analytical reporting and generate data insights through data science
In this session, Joe Caserta addresses real-word CDO challenges, shares techniques to overcome them, manage corporate disruption and achieve success.
Smart Data Webinar: Knowledge as a ServiceDATAVERSITY
Building a successful ModernAI application often requires large volumes of data for training ML models or data that has been organized into knowledge using taxonomies or ontologies to support specific vertical markets (healthcare, insurance, pharma, etc.) or horizontal functions (HR, legal, supply chain, etc). While tools do exist to help developers ingest and organize the required data into meaningful knowledge stores, using pre-built data or knowledge packages can make application development faster, more reliable, and less expensive than starting from scratch.
In this webinar we will look at trends and examples of specific proprietary and open source data sets that offer prebuilt knowledge, representations, or models to serve these markets.
DataEd Slides: Getting (Re)Started with Data StewardshipDATAVERSITY
In order to find value in your organization’s data assets, heroic data stewards are tasked with saving the day – every single day! Adhering to the organizational Data Governance (DG) framework, they work to ensure that data is captured right the first time, validated through appropriately automated means, and integrated into business processing. Whether it’s data profiling or in-depth root cause analysis, data stewards ensure the organization’s mission-critical data is reliably coordinated. This program will approach this framework and punctuate important facets of a data steward’s role. Learning objectives include:
• Understanding the motivation for full-time data stewards in your organization
• Comprehending how stewards need to be multifunctional and dexterous, especially at first
• Exploring how stewards successfully target SDLC from cadence, approach, simplicity requirements, foundational prerequisite, and perspectives
Is Your Company Braced Up for handling Big Datahimanshu13jun
Has your company recently launched new product or company is concerned with the poor sales figure or want to reach new prospects and also reduce the existing customers' attrition, then this thought evoking short hand guide is available for you to explore.
This presentation explains how big data is transforming the way data is managed and provides a context on why it is essential to get to the data that matters.
Architecting Data For The Modern Enterprise - Data Summit 2017, Closing KeynoteCaserta
The “Big Data era” has ushered in an avalanche of new technologies and approaches for delivering information and insights to business users. What is the role of the cloud in your analytical environment? How can you make your migration as seamless as possible? This closing keynote, delivered by Joe Caserta, a prominent consultant who has helped many global enterprises adopt Big Data, provided the audience with the inside scoop needed to supplement data warehousing environments with data intelligence—the amalgamation of Big Data and business intelligence.
This presentation was given as the closing keynote at DBTA's annual Data Summit in NYC.
Discovering Big Data in the Fog: Why Catalogs MatterEric Kavanagh
The Briefing Room with Dr. Robin Bloor and Waterline Data
Good enterprise data can drive positive business outcomes. But if that data isn’t organized and accessible, information workers are left with an incomplete picture. Knowing the location, lineage and permissions of data across the enterprise can lead to more accurate and insightful searches, and ultimately, knowledge discovery.
Register for this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor as he discusses how the success of big data projects relies on understanding your data. He’ll be briefed by Todd Goldman and Mohan Sadashiva of Waterline Data, who will explain how their solution can facilitate discovery via automation and crowd sourcing. They’ll demonstrate how combining the value of tribal knowledge with rationalized data can enable self-service analytics, improve data governance, and reduce data redundancy.
Presentation about BigData from a German Webcast: http://business-services.heise.de/it-management/big-data/beitrag/big-data-technologie-einsatzgebiete-datenschutz-160.html?source=IBM_12_2013_IT_Conn
Big Data Expo 2015 - Trillium software Big Data and the Data QualityBigDataExpo
Successful Big Data initiatives rely on accurate, complete data, but the information they draw on is often not validated when it enters an organization. In this session we will look at the challenges big data brings to an organization, and how data quality principles are adapting to ensure business goals and return on investments in big data are realised. We will cover:
- Challenges of big data
- Turning data lakes into reservoirs
- How data quality tools are adapting
- Why data governance disciplines remain crucial
Data governance course - part 1.
Data Governance is the orchestration of people, process and technology
to enable an organization to leverage data as an enterprise asset.
The core objectives of a governance program are:
Guide information management decision-making
Ensure information is consistently defined and well understood
Increase the use and trust of data as an enterprise asset
Objectives of this presentation :
Introduction to data governance
• Why data governance discussion today : the enterprise challenges
Applying Data Quality Best Practices at Big Data ScalePrecisely
Global organizations are investing aggressively in data lake infrastructures in the pursuit of new, breakthrough business insights. At the same time, however, 2 out of 3 business executives are not highly confident in the accuracy and reliability of their own Big Data. Regaining that confidence requires utilizing proven data quality tools at Big Data scale.
In this on-demand webinar, discover how to ensure your data lake is a trusted source for advanced business insights that lead to new revenue, cost savings and competitiveness. You will have the opportunity to:
• Compare your organization’s data lake “readiness” against initial findings from our upcoming annual Big Data Trends survey
• Gain insight into where and how to leverage data quality best practices for Big Data use cases
• Explore how a ‘Develop Once, Deploy Anywhere’ approach, including to native Big Data infrastructures such as Hadoop and Spark, facilitates consistent data quality patterns
Enabling Success With Big Data - Driven Talent AcquisitionDavid Bernstein
Adopting an evidence-based recruitment marketing strategy is not just reserved for large employers. In fact, a targeted sourcing strategy can in some ways have a greater impact on small and mid-size businesses who need to allocate already-limited resources to the areas that will provide the most value. Ultimately, hiring the right candidate means profitability for your business. How can talent acquisition professionals gain the insights their organizations need to make better-informed decisions about their recruitment marketing efforts?
The presentation includes the introduction to the topic, the various dimensions of big data, its evolution from big data 1.0 to bid data 3.0 and its impact on various industries, uses as well as the challenges it faces. The concluding slide gives a brief on the future of big data.
Your AI and ML Projects Are Failing – Key Steps to Get Them Back on TrackPrecisely
With recent studies indicating that 80% of AI and machine learning projects are failing due to data quality related issues, it’s critical to think holistically about this fact. This is not a simple topic – issues in data quality can occur throughout from starting the project through to model implementation and usage.
View this webinar on-demand, where we start with four foundational data steps to get our AI and ML projects grounded and underway, specifically:
• Framing the business problem
• Identifying the “right” data to collect and work with
• Establishing baselines of data quality through data profiling and business rules
• Assessing fitness for purpose for training and evaluating the subsequent models and algorithms
The one question you must never ask!" (Information Requirements Gathering for...Alan D. Duncan
Presentation from 2014 International Data Quality Summit (www.idqsummit.org, Twitter hashtag #IDQS14). Techniques for business analysts and data scientists to facilitate better requirements gathering in data and analytic projects.
David Bernstein of eQuest, the global leader in job-posting delivery and job board performance analytics, discusses how Big Data analysis provides organizations with greater recruitment marketing effectivenss than ever before. By not only delivering predictive information on job postings but by also taking a holistic look at your talent pipeline, Big Data analysis provides the insight organizations need to make better-informed decisions more quickly, reducing time-to-hire, costs and administrative burden.
This presentation is prepared by one of our renowned tutor "Suraj"
If you are interested to learn more about Big Data, Hadoop, data Science then join our free Introduction class on 14 Jan at 11 AM GMT. To register your interest email us at info@uplatz.com
Big Data - it's the big buzz. But is it dead on arrival?
In this presentation Daragh O Brien looks at the history of information management, the challenges of data quality and governance, and the implications for big data...
Transforming GE Healthcare with Data Platform StrategyDatabricks
Data and Analytics is foundational to the success of GE Healthcare’s digital transformation and market competitiveness. This use case focuses on a heavy platform transformation that GE Healthcare drove in the last year to move from an On prem legacy data platforming strategy to a cloud native and completely services oriented strategy. This was a huge effort for an 18Bn company and executed in the middle of the pandemic. It enables GE Healthcare to leap frog in the enterprise data analytics strategy.
Europe’s General Data Protection Regulations (GDPR) will go into effect in less than a year (on 25 May 2018). Achieving data compliance is far from simple and businesses must continuously review how they gather, process and protect personal data. From how data is stored and used to how you secure and even erase information from corporate systems, discover how graph technology can address key challenges relating to Data Quality, Governance and Metadata Management.
Enabling Data Governance - Data Trust, Data Ethics, Data QualityEryk Budi Pratama
Presented on PHPID Online Learning 35.
Komunitas PHP Indonesia
Title: Enabling Data Governance - The Journey through Data Trust, Ethics, and Quality
Eryk B. Pratama
Global IT & Cybersecurity Advisor
A Better Understanding: Solving Business Challenges with DataEric Kavanagh
Good decisions make great companies. That's why the data-driven mantra keeps gaining momentum. Increasingly, smart business people are taking a data-first approach for both strategic planning and tactical decision-making. They spend ample time exploring their data to better understand their options. In doing so, they capitalize on real opportunities, while avoiding low-value projects.
Register for this episode of The Briefing Room to hear veteran Analyst Dr. Robin Bloor explain why a data-first mindset can help companies optimize their resources and thus make better decisions. He'll be briefed by Rishi Patel and Erin Haselkorn of
The Briefing Room with Dr. Robin Bloor and Experian
Experian, who will showcase Experian Pandora, which enables the kind of discovery that businesses need to better understand their data. They'll explain how Pandora can help professionals build a business case for their ideas and plans.
Big Data Forum at Salt River Fields (the spring training field for the Arizona Diamondbacks). Krishnan Parasuraman discusses how companies are using big data and analytics to transform their business.
Similar to Big Data: How does it fit in your data strategy? (20)
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
1. Big Data: How does it fit in your
data strategy?
A Lunch & Learn webinar for IT Management
Brought by Performance Tuning Corporation
www.perftuning.com
2. Panelists
Mark Swanholm
Chief Strategy Officer
Performance Tuning Corporation
https://www.linkedin.com/in/mswanholm
Dan Morgan
Oracle ACE Director
Performance Tuning Corporation
https://www.linkedin.com/pub/dan-morgan/0/aa9/a5
4. • Founded in 1997
– Team spun out of Compaq Performance Lab
– Focused on solving the tough/complex and messy data architecture problems
– Very Senior team of EXPERTS
• Over 1000 clients & counting
• Key industries: Financial Services, Telecom, Oil & Gas,
Healthcare
• Oracle Platinum Partner: Oracle Ace Director and Oracle Ace on
staff
About PTC Select Clients
• Database & Engineered Sys.
• Storage, Server and Network
• Consulting, Managed Services &
Training
Focus on:
High Performance Architectures
5. Introduction: Daniel Morgan
• Oracle ACE Director
• Wrote Oracle curriculum and primary program instructor at University of Washington
• Oracle consultant to Harvard University
• The Morgan behind Morgan's Library on the web
www.morganslibrary.org
• 10g, 11g, and 12c Beta tester
• Member: New York Oracle Users Group
• Retired chair Washington Software Assoc. Database SIG
• Co-Founder International GoldenGate Users Group
• Never an employee of Oracle Corp.
10. What people think Big Data is
3.5%
7.5%
8.8%
10.4%
17.4%
52.4%
None of the above
I don't know
All of the web-based data and content
businesses use for their own operations
I'm not really sure what "Big Data" refers
to
The mass amounts of internal information
that is stored and managed by an…
All of the external and internal web-based
data available for business intelligence
Definition of "Big Data"
Source: Connotate, “Connotate 2012 Big Data Attitudes and Perceptions Survey,” Oct. 1, 2012
11. To quote Forbes Magazine…
Source: http://www.forbes.com/sites/lisaarthur/2013/08/15/what-is-big-data/
12. So… what is "Big Data”?
• “Big Data” marketing focused on
“net new” infrastructure and
techniques over existing solutions
• Generally refers to storing data in
an unstructured manner and
applying pattern recognition to
extract value
13. The Four V’s at a glance
Volume
Velocity
35 ZB
~12 TB/Day
~1 TB/Day
Variety
Veracity
are probably wrong
The speed at which data is produced and collected.
In Fraud detection, for example, minutes count.
~30B RFID sensors
The variety forms of data and its origins
80% of the world data is unstructured
The scale of the data
-Data quality uncertainty. That it exists does not mean
it has value
-The fact that someone believes something does not
make it true
1/3 business leaders don't trust the
Information they use to make decisions
2/3
14. Big Data volume: a few facts
Every day, we create
2.5 quintillion
bytes of data:
So much that 90% of
the data in the
world today has been
created in the last
two years alone
This data comes from
everywhere:
• sensors used to gather
climate information
• posts to social media
sites
• digital pictures and
videos
• purchase transaction
records
• cell phone GPS signals
to name a few
From the beginning of
recorded time until 2003,
we created 5B
gigabytes of data
In 2011, the same amount
was created every two
days
In 2013, the same amount
of data is created every
10 minutes
15. "Big Data”variety
• Audio
• Digital TV
• Digital Photos
• Smart Phones
• Smart Appliances
• RFID Tags
• Medical Imaging
• Industrial Sensors
• Satellite Images
• Games
• Scanners
• Social Networks
• CAD/CAM Drawing
• Video Conferencing
• Digital Movies
• Search Engines
File Systems
Transactional Data
Content Management
Email
CRM
Supply Chain
ERP
RSS Feeds
Cloud
Custom Sources
DataExplorer
• ERP Systems
• HR Systems
• CSR Systems
• Point-of-Sale
• Credit Reports
• Public Records
• Property Taxes
• Smart Meters
• Automotive Systems
• GPS and AIS Data
• License Plate Readers
• Medical Records
• Stock Trades
• Scientific Research
• White Papers
• Weather Forecasts
16. ISPs Movie Rentals Retailers Credit CardsSearch Engines Phone Systems
Where is data collected?
17. What are they collecting?
Restaurant czheck
Grocery Bill
Airline ticket
Hotel Bill
and more…
19. CRM
J Robertson
Pittsburgh, PA 15213
35 West 15th
Name:
Address:
Address:
ERP
Janet Robertson
Pittsburgh, PA 15213
35 West 15th St.
Name:
Address:
Address:
Legacy
Jan Robertson
Pittsburgh, PA 15213
36 West 15th St.
Name:
Address:
Address:
SOURCE SYSTEMS
20. 468
?
??
AD - Andora
AE - United Arab Emirates
AF - Afghanistan
AG - Antigua
AI - Albania
AM - Armenia
AN - Netherland Antilles
AO - Angola
AR - Argentina
AS - American Samoa
AT - Austria
AU - Australia
AW - Aruba
BB - Barbados
BE - Belgium
BG - Bulgaria
BH - Bahrain
BI - Burundi
countries? 93% valid states? 0.1% valid
ACCRA 00233 GH
ACCRA-GH
ACHAIA
ADMIRALTY
AE
AG
AGHIA PARASKEVI
AGUADA
AGUAS CLARAS
AICHI-KEN
AISNE - PICARDIE
AJMAN
AK
AKERSHUS
AL
AL NAHDA1
AL QUOZ
AL.
ALABAMA
ASEAN
ASIA
ASIAN PACIFIC
Canadian cities? 2.3% valid
CITY STATE
-------------------- ------
Calgar AB
Calgar7 AB
Calgaray AB
Calgaru AB
Calgary AB
Calgary AB AB
Calgary Alberta AB
Calgary Canada AB
Calgary NW AB
Calgary Nw AB
Calgary SW AB
Calgary T3B5Y4 AB
Calgary, AB
Calgary, AB AB
Calgary, Alberta AB
Calgary, Alta. AB
Calgary, T2K 1B7 AB
Calgay AB
Calgery AB
Calgry AB
27. Truth or Consequences?
• Google was tracking a trend
– What mattered was direction
– What mattered was magnitude
• How did this affect a retail pharmacy chain?
– Made decisions to order different inventory and reorganize shelves
– Purchased substantially more inventory than they could sell
– Shipped the new inventory to their stores
– Paid employees to process the new inventory
– Shipped existing inventory from stores to warehouses
– Items that could have sold were removed from the shelves and did not sell
while excess inventory did not sell
28. Mid-course corrections
• Google's algorithm was
written by professional
statisticians and SMEs
• Google was able to rely
on the CDC data to find
their errors and correct
their algorithm
30. A standard yardstick
• To determine Google's error in magnitude required a sanity
check provided by the CDC using traditional relational data
• Only 12% of existing relational data is analyzed and used to
make business decisions
• To access and query the 88% of the data not being utilized
requires
– Improving data integrity
– Building data warehouses ... not data dumpsters
– Creating decision support systems with the help of SMEs
32. Three Paths
Do it in house
Subcontract to a
service provider
Ignore it and
more fully
exploit existing
data resources
33. Ignore it Do it in-house Hire a service provider
Since only 12% of existing
relational data is analyzed
and used to make business
decisions:
• Create a data warehouse to
properly organize existing
data
• Create a decision support
system with domain
expertise
• Will require ETL expertise
Data Experts: Data Architects,
Management, Governance, Policy
Coders: Data masking
Infrastructure: Servers, Storage
Visualization Expertise: Data
set interpretation and correlation:
Present results in a meaningful way
Industry Vertical Domain
Expertise: Develop hypotheses,
Identify relevant business issues, Ask
the right questions
Math and Operations
Research: Algorithm Development
Share the costs by engaging a
service provider
• Provides the hardware and
software
• Provides the source data
• Provides statisticians and
programmers
You still need to:
• Ask the right questions
• Validate the results
• Interpret the results to derive
actionable information
• If merging with internal data
still requires data masking and
ETL
34. Optimize What You Already Own
• The vast majority of organizations already own infrastructure
sufficient to collect, collate, and analyze, the data sets
they own and for which they can vouch for its veracity
• What these organizations need is to:
– Identify data sources, reporting resources, and data redaction gaps
– Improve existing system
– If needed, obtain outside expertise to perform limited functions to set
up systems and to train internal resources to maintain them
35. Writing better SQL: Real-life example (1:2)
A report that was supposed to be run every 5 minutes
36. Writing better SQL: Real-life example (2:2)
The same report from the same data that runs in less than 5 minutes
Same servers ...
Same storage ...
Same network ...
Same database ...
Same data ...
Same tables ...
Same indexes ...
Performance improved 739X
37. Analytics & Reporting
• Reporting – Historical,
emphasis on counting,
understanding what
happened
• Analytics – Future looking,
discovery, emphasis on
predicting what will happen
next and determining how
to favorably influence the
event
38. Oracle Analytics Database Evolution
1998 1999 2002 2005 20082004 2011 2014
• 7 Data Mining
“Partners”
• Oracle acquires
Thinking Machine
Corp’s dev. team +
“Darwin” data
mining software
• Oracle Data Mining
10g & 10gR2
introduces SQL dm
functions, 7 new SQL
dm algorithms and
new Oracle Data Miner
“Classic” wizards
driven GUI
• New algorithms (EM,
PCA, SVD)
• Predictive Queries
• SQLDEV/Oracle Data
Miner 4.0 SQL script
generation and SQL
Query node (R integration)
• OAA/ORE 1.3 + 1.4
adds NN, Stepwise,
scalable R algorithms
• Oracle Adv. Analytics
for Hadoop Connector
launched with scalable
BDA algorithms• Oracle Data Mining
9.2i launched – 2
algorithms (NB and
AR) via Java API
• ODM 11g & 11gR2 adds
AutoDataPrep (ADP), text
mining, perf.
improvements
• SQLDEV/Oracle Data Miner
3.2 “work flow” GUI
launched
• Integration with “R” and
introduction/addition of
Oracle R Enterprise
• Product renamed “Oracle
Advanced Analytics (ODM
+ ORE)
39. Oracle’s Big Data Tools
SOURCES
DATA RESERVOIR DATA WAREHOUSE
Oracle Database
Oracle Industry
Models
Oracle Advanced
Analytics
Oracle Spatial &
Graph
Big Data Appliance
Apache
Flume
Oracle
GoldenGate
Oracle Event
Processing
Cloudera Hadoop
Oracle Big Data SQL
Oracle NoSQL
Oracle R Advanced
Analytics for Hadoop
Oracle R Distribution
Oracle Database
In-Memory, Multi-tenant
Oracle Industry Models
Oracle Advanced
Analytics
Oracle Spatial & Graph
Exadata
Oracle
GoldenGate
Oracle Event
Processing
Oracle Data
Integrator
Oracle Big Data
Connectors
Oracle Data
Integrator
41. Big Data has a place in IT!
Big Data has the potential to answer questions that can
not be answered with operational data
• What are people saying about us?
• What is trending in a way that might benefit us?
• What is trending in a way that might hurt us?
• What are people concerned about?
• What other interests do our customers and prospects have?
42. Planning and Budgeting impact
Planning:
• Define specific goals you expect to achieve through data analysis and
reporting
• Define the skill sets required to extract actionable information from your data
• Define the training and consulting required to align your IT team with business
needs
It is far less expensive to train your current employees in how to leverage what you
already have then it is to purchase new systems and hire new FTEs with new skills
Big Data Initiatives have promise in some areas – the challenge isn’t technical though, it’s
about solving a business problem.
Before you jump into a new initiative be sure the objectives are clearly defined – and that
they match up with the strengths (and limitations) of Big Data
43. Conclusions
• You can maximize the profitability of your organization by leveraging your existing
data to gain insights into how to become more efficient or increase sales
• You can maximize the profitability of your organization by spending your money
conservatively and optimizing use of what you already own
• Services organizations like PTC can support you in optimizing your existing
assets and training your existing team members
– Experts in performance tuning
– Experts in data warehouse design
– Experts in ETL
• Explore Big Data initiatives cautiously – leverage external resources at first and
have well defined goals and objectives
– If you don’t know what questions to ask you can’t expect to find the answers in Big Data
44. Thank you!
EXPERTS
Expert Data Services team with deep
performance tuning and Oracle
technology backgrounds.
More info:
www.perftuning.com
info@perftuning.com
@perftuning
Editor's Notes
Over the years, Oracle has increasingly invested in making the database and SQL more powerful….